Worker productivity and wages: Evidence from linked employer-employee data
AbstractThis study compares the determinants of productivity and wages at both firm and worker level. In the firm-level analysis, we follow Hellerstein, Neumark and Troske (1999) and provide improved estimates based on an extended set of covariates including the intensity of firm-provided training. In the worker-level analysis we take a new turn and generate a proxy for unobserved worker productivity. Our results point to the presence of sizeable spillover effects from schooling and training as their impact is bigger on firm-level productivity equations than on the corresponding worker-level equations. In turn, our fully disaggregated model at worker level shows that, by using all possible combinations of worker attributes, we obtain that the wage differences across different worker groups are mostly productivity based and that the gap can be as high as 33%.
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Bibliographic InfoPaper provided by GEMF - Faculdade de Economia, Universidade de Coimbra in its series GEMF Working Papers with number 2012-17.
Length: 37 pages
Date of creation: Oct 2012
Date of revision:
Worker productivity; wages; human capital; LEED; inter-firm spillovers.;
Other versions of this item:
- Lopes, Ana Sofia & Teixeira, Paulino, 2012. "Worker Productivity and Wages: Evidence from Linked Employer-Employee Data," IZA Discussion Papers 7036, Institute for the Study of Labor (IZA).
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Judith K. Hellerstein & David Neumark & Kenneth R. Troske, 1996.
"Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations,"
NBER Working Papers
5626, National Bureau of Economic Research, Inc.
- Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-46, July.
- Jovanovic, Boyan & Rob, Rafael, 1989. "The Growth and Diffusion of Knowledge," Review of Economic Studies, Wiley Blackwell, vol. 56(4), pages 569-82, October.
- Moretti, Enrico, 2004.
"Estimating the social return to higher education: evidence from longitudinal and repeated cross-sectional data,"
Journal of Econometrics,
Elsevier, vol. 121(1-2), pages 175-212.
- Enrico Moretti, 2002. "Estimating the Social Return to Higher Education: Evidence From Longitudinal and Repeated Cross-Sectional Data," NBER Working Papers 9108, National Bureau of Economic Research, Inc.
- John T. Addison & Paulino Teixeira & Thomas Zwick, 2008.
"German Works Councils and the Anatomy of Wages,"
Working Paper Series
11-08, The Rimini Centre for Economic Analysis, revised Jan 2008.
- Hellerstein, J-K & Neumark, D, 1995.
"Sex, Wages, and Productivity : an Empirical Analysis of Israeli, Firm-Level Data,"
9501, Michigan State - Econometrics and Economic Theory.
- Hellerstein, Judith K & Neumark, David, 1999. "Sex, Wages, and Productivity: An Empirical Analysis of Israeli Firm-Level Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(1), pages 95-123, February.
- Gérard Ballot & Fathi Fakhfakh & Erol Taymaz, 2006. "Who Benefits from Training and R&D, the Firm or the Workers?," British Journal of Industrial Relations, London School of Economics, vol. 44(3), pages 473-495, 09.
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